Post-traumatic stress disorders and coping strategies of health professionals during COVID-19 pandemic in Bangladesh: findings of a countrywide cross-sectional study.

Background: COVID-19 pandemic imposed a devastating effect on the psychological health of health professionals as they worked nonstop to withstand the hardship of the pandemic. The present study intended to determine the post-traumatic stress disorders (PTSD) and coping strategies among health professionals during the COVID-19 pandemic in Bangladesh. Methods: This country-wide cross-sectional study was conducted from July to December 2021 among 1394 health professionals (596 physicians, 713 nurses, 85 medical technologists) who served COVID-19 patients at the secondary, tertiary, and specialized government healthcare facilities in Bangladesh and completed at least one month after exposure to COVID-19 patient-care. Data were collected through face-to-face interviews using a semi-structured questionnaire and analyzed by SPSS software. All the ethical issues were maintained strictly. Findings: Most of the participants, 877 (62.9%) [95% CI: 60.3-65.5], were female, and 327 (23.5%) [95% CI: 21.3-25.8] developed PTSD. Females (AOR:1.42 [95% CI: 1.083-1.868] p = 0.011), having an elderly family member (AOR:1.515 [95% CI: 1.173-1.956] p = 0.0014), working in specialized hospitals (AOR:2.685 [95% CI: 1.928-3.739] p < 0.001), and working ≥8 hours/day (AOR:1.897 [95% CI: 1.350-2.666] p = 0.0002) had higher odds of developing PTSD. Most of the participants adopted spiritual approaches 96 (29.4%) [24.5-34.6] and distraction by watching TV/YouTube 59 (18.0%) [14.0-22.6] as coping strategies. Interpretation: The study findings would be helpful for health policymakers and managers to develop comprehensive measures for restoring the mental well-being of health professionals by alleviating PTSD induced by a pandemic like COVID-19. Funding: The study got funding from the Directorate General of Medical Education under the Ministry of Health and Family Welfare, Bangladesh.

An Update of Lectins from Marine Organisms: Characterization, Extraction Methodology, and Potential Biofunctional Applications.

Lectins are a unique group of nonimmune carbohydrate-binding proteins or glycoproteins that exhibit specific and reversible carbohydrate-binding activity in a non-catalytic manner. Lectins have diverse sources and are classified according to their origins, such as plant lectins, animal lectins, and fish lectins. Marine organisms including fish, crustaceans, and mollusks produce a myriad of lectins, including rhamnose binding lectins (RBL), fucose-binding lectins (FTL), mannose-binding lectin, galectins, galactose binding lectins, and C-type lectins. The widely used method of extracting lectins from marine samples is a simple two-step process employing a polar salt solution and purification by column chromatography. Lectins exert several immunomodulatory functions, including pathogen recognition, inflammatory reactions, participating in various hemocyte functions (e.g., agglutination), phagocytic reactions, among others. Lectins can also control cell proliferation, protein folding, RNA splicing, and trafficking of molecules. Due to their reported biological and pharmaceutical activities, lectins have attracted the attention of scientists and industries (i.e., food, biomedical, and pharmaceutical industries). Therefore, this review aims to update current information on lectins from marine organisms, their characterization, extraction, and biofunctionalities.

Knowledge and practice on infection prevention among medical doctors working at a COVID-19 unit of a tertiary care hospital in Bangladesh

Background: IPC knowledge and practice can shield HCWs from being infected or even worse.

Health-Related Quality of Life and Coping Strategies adopted by COVID-19 survivors: A nationwide cross-sectional study in Bangladesh (preprint)

This study aims to investigate the health-related quality of life and coping strategies among COVID-19 survivors in Bangladesh. Methods: This is a cross-sectional study of 2198 adult, male was 72.38% (n=1591) and female 27.6% (n=607), COVID-19 survivors living in Bangladesh. Data were collected from previously diagnosed COVID-19 participants (confirmed by an RT-PCR test) via door-to-door interviews in the eight different divisions in Bangladesh. For data collection, Bengali translated Brief COPE inventory and WHO Brief Quality of Life (WHO-QOLBREF) questionnaires were used. The data collection period was from June 2020 to March 2021. Results: Males 72.38% (1591) were more affected by COVID-19 than females 27.62% (607). Age showed significant correlations with physical, psychological and social relationships; whereas, gender showed only significant correlation with physical health (p<0.001). Marital status, occupation, living area, and co-morbidities showed significant co-relation with all four domains of QoL (p<0.001). Education and affected family members showed significant correlation with physical and social relationship (p<0.001). However, smoking habit showed significant correlations with both social relationship and environment (p<0.001). Age and marital status showed a significant correlation with avoidant coping strategy (p<0.001); whereas gender and co-morbidities showed significant correlation with problem focused coping strategies (p<0.001). Educational qualification, occupation and living area showed significant correlation with all three coping strategies (p<0.001). Conclusion: Survivors of COVID-19 showed mixed types of coping strategies; however, the predominant coping strategy was avoidant coping, followed by problem focused coping, with emotion focused coping reported as the least prevalent. Marital status, occupation, living area and co-morbidities showed a greater effect on QoL in all participants.

Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning.

The spread of a respiratory syndrome known as Coronavirus Disease 2019 (COVID-19) quickly took on pandemic proportions, affecting over 192 countries. An emergency of the health system was obligated for the response to this epidemic. Although containment measures in China reduced new cases by more than 90 %, the levels of reduction were not the same in other countries. So, the question that arises is: what the world will see this pandemic, and how many patients can be affected? The response would be helpful and supportive of the authority and the community to prepare for the coming days. In this study, the Autoregressive Integrated Moving Average (ARIMA) model was employed to analyze the temporal dynamics of the worldwide spread of COVID-19 in the time window from January 22, 2020 to April 7, 2020. The cumulative number of confirmed Covid-19-affected patients forecasted over the three months was between 9,189,262 - 14,906,483 worldwide. This prediction value of Covid 19-affected patients will be valid only if the situation remains unchanged, and the epidemic spreads according to the previous nature worldwide in these three months.

Prediction of potential inhibitors for RNA-dependent RNA polymerase of SARS-CoV-2 using comprehensive drug repurposing and molecular docking approach (preprint)

The pandemic prevalence of COVID-19 has become a very serious global health issue. Scientists all over the world have been heavily invested in the discovery of a drug to combat SARS-CoV-2. It has been found that RNA-dependent RNA Polymerase (RdRp) plays a crucial role in SARS-CoV-2 replication, and thus could be a potential drug target. Here, comprehensive computational approaches including drug repurposing and molecular docking were employed to predict an effective drug candidate targeting RdRp of SARS-CoV-2. This study revealed that Rifabutin, Rifapentine, Fidaxomicin, 7-methyl-guanosine-5'-triphosphate-5'-guanosine and Ivermectin have a potential inhibitory interaction with RdRp of SARS-CoV-2, and could be effective drugs for COVID-19. In addition, virtual screening of the compounds from ZINC database also allowed the prediction of two compounds (ZINC09128258 and ZINC 09883305) with pharmacophore features that interact effectively with RdRp of SARS-CoV-2; indicating their potentiality as effective inhibitors of the enzyme. Furthermore, ADME analysis along with analysis of toxicity was also investigated to check the pharmacokinetics and drug-likeness properties of the two compounds. Comparative structural analysis of protein-inhibitor complexes revealed that positions of the amino acid Y32, K47, Y122, Y129, H133, N138, D140, T141, S709 and N781 are crucial for drug surface hotspot in the RdRp of SARS-CoV-2.